As with all technologies, there are critical drivers for HPC engagement, adoption and sustained usage. Information Systems (IS) research studies have provided extensive insights into user engagement, adoption & sustained usage of technologies. The seminal, and in many senses foundational, technology acceptance model (TAM) theory validated and popularized the concepts of perceived usefulness and ease of use of technologies [1]}. Subsequent studies updated TAM, including a broader theoretical basis with a unified perspective leading to the “unified theory of acceptance and use of technology” (UTAUT), which “highlights the importance of contextual analysis in developing strategies for technology implementation” [2]}. Extant research has also demonstrated that the challenges of technology adoption and usage are subject to information facets, information complexity, equivocality of information and information overload [3]}, [4]}. Some technologies, such as blockchains, are pertinent to specific user categories where generally dominant drivers of technology acceptance may have less relevance than factors such as “security, privacy, transparency, trust and traceability aspects” [5]}.
